Publication Name	World Journal of Gastrointestinal Endoscopy
Manuscript ID	116381
Country	United Kingdom

Category	Gastroenterology & Hepatology
Manuscript Type	Meta-Analysis
Article Title	Artificial intelligence in predicting colorectal polyp histology: Systematic review and meta-analysis of diagnostic accuracy in real-time procedures
Manuscript Source	Invited Manuscript
All Author List	Princess Curlej and Jonathan Soldera
Funding Agency and Grant Number
Corresponding Author	Jonathan Soldera, MD, PhD, Gastroenterology and Acute Medicine, University of South Wales in Association with Learna Ltd., 86-88 Adam Street, Cardiff CF37 1DL, United Kingdom. jonathansoldera@gmail.com
Key Words	Artificial intelligence; Adenoma; Colonic polyps; Endoscopy; Gastrointestinal; Diagnosis computer-assisted
Core Tip	Artificial intelligence enables accurate, real-time differentiation between neoplastic and non-neoplastic colorectal polyps, fulfilling the optical biopsy criteria. By supporting “resect-and-discard” strategies for diminutive lesions and providing decision assistance to less experienced endoscopists, artificial intelligence can streamline colonoscopy workflows, mitigate pathology workloads, and enhance colorectal cancer prevention programs.
Citation	Curlej P, Soldera J. Artificial intelligence in predicting colorectal polyp histology: Systematic review and meta-analysis of diagnostic accuracy in real-time procedures. World J Gastrointest Endosc 2026; In press

Received	2025-11-11 09:43
Peer-Review Started	2025-11-12 00:23
First Decision by Editorial Office Director	2025-11-30 01:26
Return for Revision	2025-11-30 01:26
Revised	2025-12-10 01:15
Publication Fee Transferred
Second Decision by Editor	2026-01-20 02:33
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-01-20 11:13
Articles in Press	2026-01-20 11:13
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5190 (online)
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